Proceedings of the 4th Workshop on Towards Knowledgeable Foundation Models (KnowFM 2026)

2026-06-25 · Source: Paper Index on ACL Anthology · Field: Technology & Digital — Artificial Intelligence & Machine Learning · Depth: Expert, short

Summary

The Association for Computational Linguistics has published the official proceedings for the 4th Workshop on Towards Knowledgeable Foundation Models (KnowFM 2026). This volume, identified by Anthology ID 2026.knowfm-1.0 and DOI 10.18653/v1/2026.knowfm-1.0, compiles research presented at the workshop held in July 2026 in San Diego, California, United States. It lists Canyu Chen, Yuji Zhang, Zoey Sha Li, Zihan Wang, Qineng Wang, Jinyan Su, Priyanka Kargupta, Sara Vera Marjanović, Jeff Z. Pan, Mohit Bansal, Isabelle Augenstein, Jiawei Han, Heng Ji, and Manling Li as editors. The proceedings, with ISBN 979-8-89176-403-3, are available online, providing a record of the discussions and advancements in the field of foundation models.

Key takeaway

For researchers or academics seeking to reference the latest work on knowledgeable foundation models, you should consult the official KnowFM 2026 proceedings. Ensure accurate citation using the provided BibTeX or ACL formats, including the DOI 10.18653/v1/2026.knowfm-1.0, to properly attribute contributions from the workshop held in San Diego, California, in July 2026. This ensures your work is correctly linked to the foundational research.

Topics

• Foundation Models
• Knowledge Representation
• Workshop Proceedings
• ACL Anthology
• San Diego 2026

Best for: AI Scientist, Machine Learning Engineer, NLP Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Paper Index on ACL Anthology.